Face Recognition System for Ticket Management

This paper presents a face recognition-based system for railway ticket management. The proposed system uses deep learning techniques to detect and verify passenger identity, replacing traditional ticket checking methods. The system captures facial features using a camera, matches them against a registered database, and grants or denies access accordingly. Experimental results demonstrate high accuracy and real-time performance, making it suitable for deployment in railway stations. The system aims to reduce fraud, improve efficiency, and enhance passenger experience.